Evidence map›Paper›PMID 32016823›Full record

ArticleDrugs & aging2020

Prevalence and Factors Associated with Analgesic Prescribing in Poly-Medicated Elderly Patients.

Aymen Ali Al-Qurain, Lemlem G Gebremichael, Muhammad Suleman Khan, Desmond B Williams, Lorraine Mackenzie, Craig Phillips, Patrick Russell, Michael S Roberts, Michael D Wiese

Abstract read
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In one paragraph

Article in Drugs & aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  9. Pain assessment and management of adult patients in the Swedish EMS: a nationwide registry study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Observational
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  17. Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients.European journal of drug metabolism and pharmacokinetics · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Aymen Ali Al-QurainSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Lemlem G GebremichaelSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Muhammad Suleman KhanSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Desmond B WilliamsSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Lorraine MackenzieSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Craig PhillipsSchool of Nursing and Midwifery, University of South Australia, Adelaide, Australia.
Patrick RussellRoyal Adelaide Hospital, Adelaide, Australia.
Michael S RobertsSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia.
Michael D WieseSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, Australia. michael.wiese@unisa.edu.au.ORCID 0000-0002-3255-9242
University of South Australia · AURoyal Adelaide Hospital · AUTranslational Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain is common in older patients and management guidelines rarely consider the effect of multiple comorbidities and concurrent medications on analgesic selection.

objectivesThe objectives of this study were to identify the prevalence and pattern of analgesic prescribing and associated factors in older patients with polypharmacy.

methodsOlder patients (aged ≥ 75 years) admitted to the Royal Adelaide Hospital between September 2015 and August 2016 and with polypharmacy were included and their comorbidities and medications prescribed at discharge were recorded. Drug Burden Index and Charlson Comorbidity Index were calculated. The number of medications that increased the risk of orthostatic hypotension were recorded. Logistic regression was used to compute the association between analgesic use and participant characteristics, and results were presented as odds ratios and 95% confidence intervals, adjusted for age, sex, Charlson Comorbidity Index, Drug Burden Index and orthostatic hypotension.

resultsOver 15,000 admissions were identified, of which 1192 patients were included, 824 (69%) of whom were prescribed an analgesic medication. Paracetamol (used by 89% of analgesic users), opioids (34%) and adjuvants (17%) were used more frequently than non-steroidal anti-inflammatory drugs (8%). Analgesic users had a higher Drug Burden Index, were prescribed more medications and were less likely to be male compared with non-users. Charlson Comorbidity Index across the cohort was high (7.3 ± 1.9) but there was no difference between analgesic users and non-users, but analgesic users were more likely to have a documented diagnosis of osteoarthritis, osteoporosis and falls. Opioid use was associated with the Drug Burden Index, while adjuvant use was associated with orthostatic hypotension. Opioid use was associated with having a diagnosis of osteoporosis and falls.

conclusionsIn our cohort of poly-medicated elderly patients, prescription of analgesic medications was common, and these patients are likely to have an increased rate of adverse drug reactions and falls compared with those who were not prescribed analgesic medications.

Indexed as

PolypharmacyAccidental FallsAcetaminophenAgedAged, 80 and overAnalgesicsComorbidityDrug PrescriptionsFemaleHospitalizationHumansHypotension, OrthostaticLogistic ModelsMaleOdds RatioPatient DischargeAcetaminophenAnalgesics

Identifiers

PMID32016823
OpenAlexW3003825064

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.